HPE Bright Computing Solution: технические характеристики и документация

Bright Computing Solutions

Bright Cluster Manager

Bright Cluster Manager for high performance computing (HPC) lets customers deploy complete clusters over bare metal and manage them effectively. It provides a single view for managing hardware, the operating system, the HPC software, deep learning frameworks, and machine learning libraries. With Bright Cluster Manager, system administrators can quickly get clusters up and running, and keep them running reliably throughout their lifecycle—all with the ease and elegance of a full-featured, enterprise-grade cluster manager.

Bright Cluster Manager includes the following features and corresponding benefits

•   Deploys easily

Installs everything a customer needs, including their chosen distribution of Linux, workload manager, Hadoop, Spark, Cassandra, HPC and deep learning libraries, and more on Red Hat Enterprise Linux, CentOS and SUSE Linux Enterprise Server.

• Installs on bare metal

With Bright Cluster Manager, there is nothing to pre-install so customers can start building their cluster from bare metal servers to virtual machines.

• Provides comprehensive monitoring

Monitor, visualize, and analyze a comprehensive set of hardware, software, and job-based metrics, with ease.

• Includes two powerful user interfaces

Bright Cluster Manager provides two user interfaces so customers can choose to provision, monitor, and manage their clusters with a traditional command line interface or a web-based graphical user interface (GUI).

• Integrated GPU and hardware accelerator management

Leverage powerful GPU and hardware accelerator management and monitoring capabilities to gain maximum control.

• Optimizes use of IT resources

Bright Cluster Manager ensures applications are allocated resources according to the policies of the customer's organization. The customer's cluster will prioritize workloads according to their business goals.

• Containers

Plug and play integration with Docker, Kubernetes, Mesos, and Marathon allow containers to be scheduled and started in a cluster with Bright Cluster Manager.

• Cloudbursting

Easily create new clusters in the cloud, or add-cloud based resources to existing clusters on the fly.

• Includes tools and libraries

Comes with a complete set of tools and libraries for HPC and deep learning, plus Apache analytics applications so the customer will be ready to develop, debug, and deploy their code right away. 

Bright Cluster Manager for Data Science

Bright Cluster Manager for Data Science lets you administer data science clusters as a single entity, provisioning the hardware, operating system, big data and deep learning software from a single interface. The Bright Solution for Deep Learning is a comprehensive solution that includes the following:

• Choice of machine learning frameworks, including Caffe, Torch, Tensorflow, and Theano
• Choice of machine learning libraries, including MLPython, NVIDIA CUDA Deep Neural Network library (cuDNN), Deep Learning GPU Training System (DIGITS), and CaffeOnSpark (a Spark package for deep learning).
• Includes over 400MB of Python modules that support machine learning packages, plus the NVIDIA hardware drivers, CUDA (parallel computing platform API) drivers, CUB (CUDA building blocks), and NCCL (library of standard collective communication routines).

Distribution Media and Software Documentation

Bright Cluster Manager is available for download. Upon order delivery, customers will receive an entitlement certification, which includes a URL to the Bright Computing registration site and additional license information. Customers will need to visit the site to register their purchase and retrieve their license key.

After retrieving their license key, customers will need to visit a specified website to download the software and complete their support setup.

Customers may also download user guides and other documentation at:http://www.brightcomputing.com/documentation

Ease of Installation

System administrators can install and test a fully functional cluster from "bare metal" in less than an hour. Configuration choices made during the installation can be modified afterwards. Multiple installation modes are available, including unattended and remote modes. Cluster nodes can be automatically identified based on switch ports rather than MAC addresses, improving speed and reliability of installation, as well as subsequent maintenance. All major hardware brands are supported, including HPE Apollo Systems, HPE SGI 8600 System, Apollo 20 and 40 Systems and the DL line of products.

Ease of Use

System administrators may choose to interact with Bright Cluster Manager one of two ways: via a Cluster Management Graphical User Interface (CMGUI) or a Cluster Management Shell (CMSH).

• The CMGUI is a standalone desktop application that provides a single system view for managing all hardware and software aspects of the cluster through a single point of control. Administrative functions are streamlined as all tasks are performed through one intuitive, visual interface. Multiple clusters can be managed simultaneously.
• The CMSH provides practically the same functionality as the Bright CMGUI, but via a command line interface. The CMSH can be used both interactively and in batch mode via scripts.

Either way, system administrators have unprecedented flexibility and control over their clusters. Cluster metrics, such as GPU and CPU temperatures, fan speeds and network statistics can be visualized by simply dragging and dropping them from the list on the left into a graphing window on the right. Multiple metrics can be combined in one graph and graphs can be zoomed into. Graph layout and colors can be tailored to customer requirements.

Development Environment

Bright Cluster Manager provides an extensive high performance computing (HPC) environment for both serial and parallel applications, including the following (some optional):

• Compilers, including full suites from GNU, Intel®, AMD and Portland Group
• Debuggers and profilers, including the GNU debugger and profiler, TAU, TotalView, and Allinea Forge
• GPU libraries, including CUDA and OpenCL
• MPI libraries, including OpenMPI, MPICH, MPICH2, MPICH-MX, MPICH2-MX, MVAPICJ and MVAPICH2; all cross-compiled with the compilers installed on Bright Cluster Manager, and optimized for high-speed interconnects such as InfiniBand and Myrinet
• Mathematical libraries, including ACML, FFTW, GMP, GotoBLAS, MKL and ScaLAPACK
• Other libraries, including Global Arrays, HDF5m IIPP, TBB, NetCDF and PETSc

Bright Cluster Manager also provides Enviroment Modules to make it easy to maintain multiple versions of compilers, libraries and applications for different users on the cluster, without creating compatibility conflicts. Each Environment Module file contains the information needed to configure the shell for an application, and automatically sets these variables correctly for the particular application when it is loaded. Bright Cluster Manager includes many preconfigured module files for many scenarios, such as combinations of compilers, mathematical and MPI libraries.

Image Management and Provisioning

Bright Cluster Manager features sophisticated software image management and provisioning capabilities.

A virtually unlimited number of images can be created and assigned to as many different categories of nodes as required. Default or custom Linux kernels can be assigned to individual images. Incremental changes to images can be deployed to live nodes without rebooting or re-installation.

The provisioning system propagates only changes to the images, minimizing time and impact on system performance and availability. Provisioning capabilities can be assigned to any number of nodes on-the-fly, for maximum flexibility and scalability. Bright Cluster Manager can also provision over InfiniBand and to ramdisk.

Monitoring

With Bright Cluster Manager, system administrators can collect, monitor, visualize and analyze a comprehensive set of metrics. All software and hardware metrics available to the Linux kernel, and all hardware management interface metrics (IPMI, iLO and etc.) are sampled.

Examples include CPU and GPU temperatures, fan speeds, switches, hard disk SMART information, system load, memory utilization, network statistics, storage metrics, power systems statistics, and workload management statistics. Custom metrics can also be defined.

Metric sampling is done efficiently—in one process, or out-of-band where possible. System administrators have full flexibility over how and when metrics are sampled, and historic data can be consolidated over time to save disk space.

Cluster Management Automation

Cluster management automation takes preemptive actions when predetermined system thresholds are exceeded, saving time and preventing hardware damage. System thresholds can be configured on any of the available metrics. The built-in configuration wizard guides the system administrator through the steps of defining a rule: selecting metrics, defining thresholds and specifying actions.

For example, a temperature threshold for GPUs can be established that results in the system automatically shutting down an overheated GPU unit and sending an SMS message to the system administrator's mobile phone. Several predefined actions are available, but any Linux command or script can be configured as an action.

GPU Management

Bright Cluster Manager radically reduces the time and effort of managing GPUs, and fully integrates these devices into the single view of the overall system. Bright Cluster Manager includes GPU management and monitoring capability that leverages functionality in NVIDIA® GPUs. System administrators can easily assume maximum control of the GPUs and gain instant and time-based status insight. In addition to the standard cluster management capabilities, Bright Cluster Manager monitors the full range of GPU metrics, including:

• GPU temperature, fan speed, and utilization
• GPU exclusivity, compute, display, and persistence mode
• GPU memory utilization and ECC statistics
• Unit fan speed, serial number, temperature, power usage, volatges and currents, LED status, and firmware
• Board serial, driver version and PCI info

Beyond metrics, Bright Cluster Manager features built-in support for GPU computing with CUDA and OpenCL libraries. Switching between current and previous versions of CUDA and OpenCL has also been made easy.

Integrated Workload Management

Bright Cluster Manager is integrated with a wide selection of free and commercial workload managers. This integration provides a number of benefits:

• The selected workload manager gets automatically installed and configured.
• Many workload manager metrics are monitored.
• The GUI provides a user-friendly interface for configuring, monitoring and managing the selected workload manager.
• The CMH and the SOAP API provide direct ccess to a number of workload manager commands and metrics.
• Reliable workload manager failover is properly configured.
• The workload manager is continuously made aware of the health state of nodes.

The following user-selectable workload managers tightly integrated with Bright Cluster Manager:

• Altair PBS Pro, Adaptive Computing Moab, Maui, and LSF
• SLURM, Grid Engine, and Torque

Alternatively, Lava, LoadLeveler and other workload managers can be installed on top of Bright Cluster Manager.

Security

Bright Cluster Manager offers an unprecedented level of security that can easily be tailored to local requirements. Security features include:

• Automated security and other updates from key-signed Linux and Bright Computing repositories
• Encrypted internal and external communications
• X509v3 certificate based public-key authentication to the cluster management infrastructure
• Role-based access control and complete audit trail
• Firewalls and secure LDAP
• Secure shell access

Operating System Compatibility

Bright Cluster Manager is operational on Red Hat Enterprise Linux (RHEL), SUSE Linux Enterprise Server (SLES), CentOS and Scientific Linux. Dual-boot installations with Windows HPC Server are supported as well, allowing nodes to either boot from the Bright-managed Linux head node or the Windows-managed head node.

Hardware Compatibility

Bright Cluster Manager is supported on the following Gen9 and Gen10 HPE systems:

• HPE Apollo, including Apollo 2000, 6000 and 6500
• HPE SGI 8600 system
• HPE Apollo pc40, Apollo sx40 and Apollo kl20 systems
• ARM processor-based HPE Apollo 70
• HPE ProLiant servers, including the DL server line

For more information, please contact your Hewlett Packard Enterprise sales representative.

Support

Support for Bright Cluster Manager is direct-to-vendor. Information about support processes will be provided at the point of providing a license key to Bright Computing.

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Licensing

Licenses

Bright Cluster Manager per Node 1-49 Nodes 1yr Subscription E-LTU

R4V21AAE

Notes:

- One (1) license per node

- Includes one (1) year of support from Bright Computing.

- This is an annual subscription license. Please note the software will stop working when the subscription term ends.

- Select this PN for clusters that range between one (1) and 49 nodes. If the customer's cluster exceeds 49 nodes please select a different PN.

- If the configuration includes accelerators such as GPUs or FPGAs please include the appropriate tiered SKU for the Bright Cluster Accelerator Add-on (see below)

- To increase support beyond one (1) year, increase the PN quantity by the requested number of years. For example, if the customer requests three (3) years of support, multiply the quantity by three (3).

Bright Cluster Manager per Node 50-499 Nodes 1yr Subscription E-LTU

R4V22AAE

Notes:

- One (1) license per node.

- Includes one (1) year of support from Bright Computing.

- This is an annual subscription license. Please note the software will stop working when the subscription term ends.

- Select this PN for clusters that range between 50 and 499 nodes. If the customer's cluster exceeds 499 nodes, or is less than 50 nodes, please select a different PN.

- If the configuration includes accelerators such as GPUs or FPGAs please include the appropriate tiered SKU for the Bright Cluster Accelerator Add-on (see below)

- To increase support beyond one (1) year, increase the PN quantity by the requested number of years. For example, if the customer requests three (3) years of support, multiply the quantity by three (3).

Bright Cluster Manager per Node 500-1999 Nodes 1yr Subscription E-LTU

R4V23AAE

Notes:

- One (1) license per node.

- Includes one (1) year of support from Bright Computing.

- This is an annual subscription license. Please note the software will stop working when the subscription term ends.

- Select this PN for clusters that range between 500 and 1999 nodes. If the customer's cluster exceeds 1999 nodes or is less than 500 nodes, please select a different PN.

- If the configuration includes accelerators such as GPUs or FPGAs please include the appropriate tiered SKU for the Bright Cluster Accelerator Add-on (see below)

- To increase support beyond one (1) year, increase the PN quantity by the requested number of years. For example, if the customer requests three (3) years of support, multiply the quantity by three (3).

Bright Cluster Manager per Node 2000+ Nodes 1yr Subscription E-LTU

R4V24AAE

Notes:

- One (1) license per node.

- Includes one (1) year of support from Bright Computing.

- This is an annual subscription license. Please note the software will stop working when the subscription term ends.

- Select this PN for clusters sized 2000 nodes and above. If the customer's cluster is less than 2000 nodes, please select a different PN.

- If the configuration includes accelerators such as GPUs or FPGAs please include the appropriate tiered SKU for the Bright Cluster Accelerator Add-on (see below)

- To increase support beyond one (1) year, increase the PN quantity by the requested number of years. For example, if the customer requests three (3) years of support, multiply the quantity by three (3).

Data Science Add On Licenses

Bright Cluster Manager Data Science per Node 1-49 Nodes 1yr Subscription E-LTU

R4V25AAE

Notes:

- One (1) license per node.

- Includes one (1) year of support from Bright Computing.

- This is an annual subscription license. Please note the software will stop working when the subscription term ends.

- The Bright Cluster Manager Data Science requires a Bright Cluster Manager license for 1-49 nodes

- To increase support beyond one (1) year, increase the PN quantity by the requested number of years.

Bright Cluster Manager Data Science per Node 50-249 Nodes 1yr Subscription E-LTU

R4V26AAE

Notes:

- One (1) license per node.

- Includes one (1) year of support from Bright Computing.

- This is an annual subscription license. Please note the software will stop working when the subscription term ends.

- The Bright Cluster Manager Data Science requires a Bright Cluster Manager license for 50-499 nodes.

- To increase support beyond one (1) year, increase the PN quantity by the requested number of years.

Bright Cluster Manager Data Science per Node 250-499 Nodes 1yr Subscription E-LTU

R4V27AAE

Notes:

- One (1) license per node.

- Includes one (1) year of support from Bright Computing.

- This is an annual subscription license. Please note the software will stop working when the subscription term ends.

- The Bright Cluster Manager Data Science requires a Bright Cluster Manager license for 50-499 nodes.

- To increase support beyond one (1) year, increase the PN quantity by the requested number of years.

Bright Cluster Manager Data Science per Node 500+ Nodes 1yr Subscription E-LTU

R4V28AAE

Notes:

- One (1) license per node.

- Includes one (1) year of support from Bright Computing.

- This is an annual subscription license. Please note the software will stop working when the subscription term ends.

- The Bright Cluster Manager Data Science requires a Bright Cluster Manager license for 500-1999 or 2000+ nodes.

- To increase support beyond one (1) year, increase the PN quantity by the requested number of years.

Date

Version History

Action

Description of Change

15-Nov-2021

Version 7

Changed

Service and Support section was updated

04-Oct-2021

Version 6

Changed

Added Accelerator SKUs and configuration rules.

15-Feb-2021

Version 5

Changed

Removed EOL SKUs for OpenStack Add On Licenses

06-Apr-2020

Version 4

Changed

New skus for Bright Cluster Manager and Bright Data Science.

Configuration Information section was updated.

06-Aug-2018

Version 3

Changed

Overview, What's New and Models were updated.

04-Dec-2017

Version 2

Changed

Updated Overview, What's New and Models to reflect new deep learning solution offering

25-Sept-2017

Version 1

New

Created QuickSpecs for Bright Cluster Manager

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